Parameter estimation and performance evaluation of a time-varying multipath satellite channel

Author

Rahman, Quazi Mehbubar ; Ibnkahla, M. ; Bayoumi, M.

Author_Institution

Dept. of Eng., Saint Francis Xavier Univ., Antigonish, NS

fYear

2005

fDate

1-4 May 2005

Firstpage

17

Lastpage

20

Abstract

Neural network (NN) based channel estimation method has been proposed for identifying the parameters of a nonlinear time varying satellite channel. A multipath time-varying Ricean-fading channel has been considered in the analysis for a down link scenario. To study the flexibility and performance of the proposed method, the channel in question has been varied over a reasonable range of Doppler frequencies, and the estimation for each case has been made by employing 16-quadrature amplitude modulation (16-QAM) technique. Both back propagation (BP) and natural gradient (NG) algorithms have been studied for the channel identification technique. Finally, a NN maximum likelihood sequence estimator (NN-MLSE) based receiver has been studied for the addressed system. Simulation results show that the NN-MLSE receiver performs close to that of the ideal (the channel is perfectly known) MLSE receiver in terms of symbol error rate (SER)

Keywords

Rician channels; backpropagation; channel allocation; channel estimation; gradient methods; maximum likelihood estimation; multipath channels; neural nets; quadrature amplitude modulation; satellite communication; telecommunication computing; time-varying channels; Doppler frequencies; QAM; Ricean-fading channel; back propagation; channel estimation method; channel identification technique; down link scenario; maximum likelihood sequence estimator; natural gradient algorithms; neural network; nonlinear time varying channel; parameter estimation; quadrature amplitude modulation; satellite channel; symbol error rate; time-varying multipath channel; AWGN; Adaptive filters; Computer networks; Finite impulse response filter; Frequency estimation; Maximum likelihood estimation; Neural networks; Nonlinear filters; Parameter estimation; Satellites;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2005. Canadian Conference on

Conference_Location

Saskatoon, Sask.

ISSN

0840-7789

Print_ISBN

0-7803-8885-2

Type

conf

DOI

10.1109/CCECE.2005.1556868

Filename

1556868